Microsoft Excel - Power Query Course Overview

To ensure a successful learning experience in the Microsoft Excel - Power Query course, participants should possess the following minimum prerequisites:

• Basic understanding of Microsoft Excel, including familiarity with the Excel interface, creating workbooks, and using basic formulas and functions.
• Ability to perform simple data manipulations in Excel such as sorting, filtering, and basic calculations.
• Comfort with using a computer, managing files and folders, and navigating the Windows operating system.
• An eagerness to learn and explore new tools within Excel for enhancing data analysis capabilities.

Please note that while prior experience with Power Query is not required, a foundational knowledge of Excel will help you grasp the concepts more efficiently.

Target Audience for Microsoft Excel - Power Query

Koenig Solutions' Microsoft Excel - Power Query course empowers users to extract, transform, and automate data for advanced analytics and reporting.

• Data Analysts and Scientists
• Business Intelligence Professionals
• Financial Analysts and Accountants
• Marketing Analysts
• Supply Chain Analysts
• HR Analysts
• Reporting Specialists
• IT Professionals working with data
• Project Managers requiring data manipulation
• Excel Power Users seeking to upgrade their skills
• Consultants who analyze and visualize data
• Researchers compiling and cleaning data sets
• Administrative personnel who manage data regularly

Learning Objectives - What you will Learn in this Microsoft Excel - Power Query?

Introduction to Learning Outcomes:

This Microsoft Excel - Power Query course equips participants with essential skills to import, cleanse, transform, and automate the preparation of data efficiently using Power Query.

Learning Objectives and Outcomes:

• Understand the fundamental concepts and capabilities of Power Query in Excel.
• Navigate the Power Query interface and comprehend the significance of Applied Steps in Query Settings.
• Extract data from various sources including Excel tables, external workbooks, databases, web pages, and other miscellaneous sources.
• Implement data transformation techniques such as grouping, aggregating, and creating calculated columns using text functions.
• Perform data cleaning operations like splitting text into columns, removing redundant data, and addressing formatting issues.
• Master unpivoting of data and replacing errors or specific values within columns to tidy datasets.
• Learn to merge and append data from different Excel workbooks and various external data sources effectively.
• Automate queries within Power Query to streamline repetitive tasks and improve productivity.
• Develop an understanding of how to create basic functions in Power Query to enhance data manipulation capabilities.
• Create dynamic dashboards and reports from data prepared in Power Query, enabling better data-driven decision-making.